AI/ML Data Scientist, GPSSC

Jobtailor; Missouri; On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor seeks an experienced AI/ML specialist to partner with business teams, identify opportunities, and deliver solutions. You will train models, prototype Generative AI, and build agentic AI to streamline processes.

The role emphasizes data quality, storytelling, and collaboration with leadership and customers. Candidates should have 5+ years in ML/DS, strong Python/R/SQL skills, and hands-on experience with Azure, Databricks, and ML Ops.

Qualifications

• Bachelor's degree in CS, engineering, math or related field.
• 5+ years in ML, engineering, data science or related field.
• Strong experience with Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL.

Responsibilities

• Work with partners to identify AI/ML opportunities and improve efficiency.
• Train ML models to solve complex business problems.
• Prototype AI solutions including Generative AI and Agentic AI.
• Develop and enhance model solutions as business and tech evolve.
• Craft ad-hoc reports and share findings with stakeholders.

Skills

Machine Learning

Data Science

Statistical Modeling

Python

PyTorch

TensorFlow

SQL

Data Pipelines

NLP

ML Ops

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Tools

Databricks

Hadoop

Microsoft Azure

MLflow

Docker

Kubernetes

GitHub

Jira

Tableau

PowerBI

Pandas

NumPy

Job description

• Work with existing business partners to identify opportunities for AI/ML solutions that enhance processes and improve team-member efficiency
• Train machine learning models to solve complex business problems
• Prototype AI solutions, including Generative AI
• Develop Agentic AI solutions to streamline business processes
• Enhance existing model solutions as business and technology evolve
• Provide guidance on business problems using statistical methods
• Craft ad-hoc reports sharing findings and recommendations with business partners
• Build statistical models depicting company-wide trends
• Test and validate datasets
• Refine storytelling skills to convey ideas and results to leadership, customers, and stakeholders
• Work with customers to understand challenges and needs
• Work with ML Ops in a cloud environment
• Develop proofs of concept for generative AI and Agentic AI solutions

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in machine learning, engineering, data science, or a related field
• Experience with Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, and SQL
• Experience with Large Language Models (LLMs), Generative AI, RAG, deep learning, reinforcement learning, NLP, SVM, XGBoost, Random Forest, Decision Trees, and clustering
• Experience with Databricks, Hadoop, data pipelines, data preprocessing, and feature engineering
• Preferred experience with Microsoft Azure, including Data Lake, Machine Learning, and Databricks
• Nice to have AWS or Google Cloud Platform experience
• Experience with MLflow, model monitoring and versioning, Docker, Kubernetes, GitHub, and Jira
• Experience with Tableau, PowerBI, Pandas, and NumPy
• Proven track record delivering AI/ML solutions to customers that achieve continued usage and drive value
• Excellent communication and collaboration skills
• Strong problem-solving mindset and proactive attitude toward learning and self-improvement
• Preferred: deep knowledge of GM’s Data Ecosystem, GM’s Cloud Technology Stack for Data Science, and Global Product Safety’s SFI Process
• Preferred: extensive NLP solutions experience from business problem statement through deployment and ongoing optimization
• Preferred: expertise with LLM solutions through cloud deployment that provided significant incremental business value
• Preferred: experience developing and deploying generative AI solutions into production with significant incremental business value

Core Competencies

Demonstrates expertise in developing and deploying AI/ML solutions, including Generative AI and Agentic AI, while leveraging statistical methods and cloud technologies to enhance business processes. Strong ability to communicate findings and recommendations effectively to stakeholders and leadership.

Highest-signal resume keywords

• Machine Learning
• Generative AI
• Python
• Statistical Modeling
• Cloud Environment

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Data Science
• Statistical Modeling
• Feature Engineering
• Natural Language Processing
• Deep Learning
• Reinforcement Learning
• Data Preprocessing
• Model Monitoring
• Data Pipelines

Soft Skills

• Excellent Communication
• Collaboration
• Problem-Solving Mindset
• Proactive Attitude
• Storytelling Skills

Industry Keywords

• AI Solutions
• ML Ops
• Large Language Models
• Generative AI Solutions
• Data Ecosystem
• Cloud Technology Stack
• Global Product Safety
• NLP Solutions
• Incremental Business Value
• Business Problem Statement

Tools & Technologies

• Python
• R
• Java
• PySpark
• PyTorch
• TensorFlow
• SQL
• Databricks
• Microsoft Azure
• MLflow